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Large scale visual localization in urban environments

Supreeth Achar, C.V. Jawahar, K Madhava Krishna
2011 2011 IEEE International Conference on Robotics and Automation  
This paper introduces a vision based localization method for large scale urban environments.  ...  The localization system was experimentally verified it localization experiments along a 5km long path in an urban environment. Supreeth Achar is currently a graduate student at RI CMU; C.V.  ...  CONCLUSION This paper presented a qualitative visual localization system that can be used in large scale outdoor environments.  ... 
doi:10.1109/icra.2011.5979925 dblp:conf/icra/AcharJK11 fatcat:7qfqvl4uyvb53g253wkdtrt54u

LONG-TERM VISUAL LOCALIZATION IN LARGE SCALE URBAN ENVIRONMENTS EXPLOITING STREET LEVEL IMAGERY

J. Meyer, D. Rettenmund, S. Nebiker
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, we present our approach for robust long-term visual localization in large scale urban environments exploiting street level imagery.  ...  This visual localization approach is evaluated by means of the 'Sun' subset of the RobotCar seasons dataset, which is part of the Visual Localization benchmark.  ...  ACKNOWLEDGEMENTS This work was funded by the following partners: The fundamental research on visual localization in large-scale outdoor environments was funded by the Swiss National Science Foundation  ... 
doi:10.5194/isprs-annals-v-2-2020-57-2020 fatcat:eucqkbtdmrhdpcken3pwcxuaam

The New Urban Geography of the Third Dimension

Michael Batty
2000 Environment and Planning, B: Planning and Design  
how local decisions and actions are consistent with and determine large-scale urban structures.  ...  local environments to satellite imagery, and from online transactions and various other telecommunications information.  ...  with urban scale.  ... 
doi:10.1068/b2704ed fatcat:yhjsd6kdx5g6nmyle7gc74f6eu

Using Planning Data to Monitor the Health of Communities - The Healthy Development: Monitoring and Mapping Project

Maria Mukhtar, David Guillette
2018 International Journal of Population Data Science  
The HDMM demonstrates considerable progress in producing precise, neighbourhood-level built environment indicators at a regional scale by integrating census and local data into a comprehensive set of empirically-derived  ...  in Southern Ontario comprised of three local municipalities (the Cities of Mississauga, Brampton and Town of Caledon).  ...  The HDMM demonstrates considerable progress in producing precise, neighbourhood-level built environment indicators at a regional scale by integrating census and local data into a comprehensive set of empirically-derived  ... 
doi:10.23889/ijpds.v3i4.666 fatcat:uh3u35rj6fgoxjzroukaio5bde

The new data landscape for regional and urban analysis

Xinyue Ye, Canfei He
2016 GeoJournal  
Understanding and analyzing the large-scale complex urban dynamic data is of great importance to enhance both human lives and urban environments.  ...  Regional and urban analysis is shifting towards analyzing ever-increasing amounts of large-scale, diverse data in an interdisciplinary, collaborative and timely manner.  ... 
doi:10.1007/s10708-016-9737-8 fatcat:fjstrvvrznaqze4m35rrm6mbxu

Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning

Guanqing Feng, Guangtian Zou, Pengjin Wang, Baiyuan Ding
2022 Computational Intelligence and Neuroscience  
This paper integrates classical design theory, multisource urban data, and deep learning to explore an accurate analytical framework in a new data environment, providing a scientific analysis path for  ...  the "where" and "how" of greenways in a high-density built environment.  ...  interaction with the local environment, as shown in Figure 2 .  ... 
doi:10.1155/2022/3287117 pmid:35178076 pmcid:PMC8843774 fatcat:c5eamigt5jb5pptwycto6vtcnu

VPAIR – Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments [article]

Michael Schleiss, Fahmi Rouatbi, Daniel Cremers
2022 arXiv   pre-print
However, applications such as Urban Air Mobility require operations in large-scale outdoor environments at medium to high altitudes. We present a new dataset named VPAIR.  ...  Visual Place Recognition and Visual Localization are essential components in navigation and mapping for autonomous vehicles especially in GNSS-denied navigation scenarios.  ...  THE VPAIR DATASET VPAIR is a dataset for evaluating visual place recognition and localization in a large-scale aerial environment.  ... 
arXiv:2205.11567v1 fatcat:bvzar6ocgfhqvhj3mgrarj7nyu

Measuring the Complexity of Urban Form and Design [article]

Geoff Boeing
2018 arXiv   pre-print
It includes temporal, visual, spatial, scaling, and connectivity measures of the urban form.  ...  This paper develops a typology of measures and indicators for assessing the physical complexity of the built environment at the scale of urban design.  ...  As we zoom in further to a fine scale, a denser mesh of local streets appears, branching off from these collector streets.  ... 
arXiv:1705.01986v3 fatcat:cawgeao6bjc3dcqhkm45zranqu

Measuring the Complexity of Urban Form and Design

Geoff Boeing
2017 Social Science Research Network  
It includes temporal, visual, spatial, scaling, and connectivity measures of the urban form.  ...  This paper develops a typology of measures and indicators for assessing the physical complexity of the built environment at the scale of urban design.  ...  Complexity is lost when design becomes too top-down, controlled, and predictable in modern large-scale master plans.  ... 
doi:10.2139/ssrn.2958923 fatcat:g6fgsfdzkfblrewynwzl22wmhm

A machine learning method for the large-scale evaluation of urban visual environment [article]

Lun Liu, Hui Wang, Chunyang Wu
2016 arXiv   pre-print
To address this issue, we here present a computer vision method for the large-scale and automatic evaluation of the urban visual environment, by leveraging state-of-the-art machine learning techniques  ...  We show that the machine learning model can produce a good estimation of people's real visual experience, and it holds much potential for various tasks in terms of urban design evaluation, culture identification  ...  the urban visual environment in a large-scale.  ... 
arXiv:1608.03396v1 fatcat:odyzne4hcrcbjcgwniycivzjse

Micro-scale environment and mental health in later life: Results from the Cognitive Function and Ageing Study II (CFAS II)

Yu-Tzu Wu, A. Matthew Prina, Andy Jones, Linda E. Barnes, Fiona E. Matthews, Carol Brayne
2017 Journal of Affective Disorders  
Supplementary material Supplementary data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.jad.2017.05.001.  ...  In order to assess micro-scale level features in a large population, in an earlier study (Wu et al., 2014) we have previously developed and validated the method of visual image audits based on the Residential  ...  In this study, the REAT assessment was conducted through visual image audits, which used Google Street View to virtually 'walk through' streets and assess the quality of living environment in local areas  ... 
doi:10.1016/j.jad.2017.05.001 pmid:28499210 pmcid:PMC5478740 fatcat:xw6hz7jfjzhtpmzuxnnrkby4su

Urban Flood Visualization Framework Based on Spatial Grid

Chuyuan Wei, Changfeng Jing, Shouqing Wang, Delong Li
2021 Sensors and materials  
A three-level urban flood control grid based on the territorial management business model was designed for a local administrative bureau.  ...  The visualization framework is expected to be very helpful for the emergency response and decision making in urban flood control, and can also be applied to other fields such as water conservation and  ...  required for localized urban flood control management.  ... 
doi:10.18494/sam.2021.3461 fatcat:o2fyah53cbctpjnxkffl5anyl4

Visual Analytics of Urban Environments using High-Resolution Geographic Data [chapter]

Peter Bak, Itzhak Omer, Tobias Schreck
2010 Lecture Notes in Geoinformation and Cartography  
High-resolution urban data at house level are essential for understanding the relationship between objects of the urban built environment (e.g. streets, housing types, public resources and open spaces)  ...  Configuration in this sense refers to the unique combination of different urban environmental variables.  ...  Until recently, urban environment research was limited to the use of large-scale aggregate data based on the level of administrative areas.  ... 
doi:10.1007/978-3-642-12326-9_2 fatcat:4qo62rzvpvd5lhuv2cns5gkwre

Urbanization affects oak–pathogen interactions across spatial scales

Laura J. A. van Dijk, Xoaquín Moreira, Anna E. Barr, Luis Abdala‐Roberts, Bastien Castagneyrol, Maria Faticov, Bess Hardwick, Jan P. J. G. ten Hoopen, Raúl de la Mata, Ricardo Matheus Pires, Tomas Roslin, Dmitry S. Schigel (+2 others)
2021 Ecography  
Within one large city (Stockholm, Sweden), we further explored whether local habitat features and spatial connectivity influenced infection levels during multiple years.  ...  At the continental scale, infection severity was consistently higher on trees in urban than rural areas, with some indication that temperature mediated this effect.  ...  Powdery mildew incidence and severity in rural and urban environments in small (green), medium (orange) and large cities (purple) in 2017.  ... 
doi:10.1111/ecog.06091 fatcat:nfnmfcfdpzdb3nyb6wfjauoppa

Real–Time Hierarchical GPS Aided Visual SLAM on Urban Environments [chapter]

David Schleicher, Luis M. Bergasa, Manuel Ocaña, Rafael Barea, Elena López
2009 Lecture Notes in Computer Science  
In this paper we present a new real-time hierarchical (topological/metric) Visual SLAM system focusing on the localization of a vehicle in large-scale outdoor urban environments.  ...  Some experimental results for different large-scale urban environments are presented, showing an almost constant processing time.  ...  Currently, the main goal in SLAM research is to apply consistent, robust and efficient methods for large-scale environments in real-time.  ... 
doi:10.1007/978-3-642-04772-5_43 fatcat:5o34556ttzgf5oedq2jscredh4
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